Hire the best Objective C Experts

Find talented Objective C Experts

Get Started

Trusted by the top innovative brands

Hire Trusted Freelancers for your project

More than 400,000 freelancers ready to tackle any kind of project

How it works

Post a job

Define your project

What you need in as much detail as possible. We will connect you with top talented ready to work freelancers best suitable for your requirement around the world, or near you.

Proposals

Find your expert

Get qualified proposals within 24 hours. Compare bids, reviews, and prior work. Interview favorites and hire the best fit. Auto proposal will help for urgent hiring

Communicate

Communicate

Use Toogit Messenger to chat, share files, and track project milestones from your desktop or mobile with realtime updates.

Payment

Pay Securely

Pay securely through Toogit's Partial/Full Payment system. Simply create invoices for project milestones, and only release the funds when you are 100% satisfied with the work completed.

Browse Our Top Rated Objective C Experts


Dinesh K.iOS App Developer, Malaysia
/hr
5 Years Exp.
0 Followers
I am a 5+ year experienced iOS mobile application developer.
Sameer A.Senior IOS Developer, Pakistan
$20 /hr
4 Years Exp.
0 Followers
I am a senior IOS developer. Currently working in a company in my home town since 2016. I desperately seeking online jobs. I already worked on 40+ pr...Read More
Chandan S.Sr. iOS engineer cum iOS Architect, India
$22 /hr
8 Years Exp.
0 Followers
I have wide experiences in mobile applications development for Apple mobile devices. During my professional career I developed different applications...Read More
Amanpreet S.Senior software engineer, India
$10 /hr
4 Years Exp.
0 Followers
I am senior iOS developer having 4+ years of experience in mobile application development. I have created many apps from scratch and also worked on ma...Read More
Karthik K.SSE2, India
$50 /hr
9 Years Exp.
0 Followers
iOS developer with 9 years of experience
Dipak I.Sr. iOS Engineer, India
$26 /hr
5 Years Exp.
0 Followers
I am Qualified iOS Engineer with experience of 5+ years in development of iOS applications. I have broad experience developing apps in Swift and Objec...Read More
Rahul S.iOS frontend engineer, India
$20 /hr
9 Years Exp.
0 Followers
I am a problem solving person with 9 years of programming experience. My primary skills are: iOS native developement, objective C, Swift other skil...Read More
Lakeba S.iOS Mobile App Developer, India
$8 /hr
4 Years Exp.
0 Followers
I am certified iOS Developer. I have 4.5 years experience in iOS App development. I handle swift and objective-C projects. I know Laraval framework an...Read More
Danial R.Mobile App Developer, Pakistan
$10 /hr
4 Years Exp.
0 Followers
I am a certified Mobile App developer having experience of 4 years.
Deepti Team Lead, India
$15 /hr
9 Years Exp.
0 Followers
I am developer with overall 9yrs of experience into IT. 5.6+yrs as ios developer
Nikul iOS Developer, United Arab Emirates
$10 /hr
3 Years Exp.
0 Followers
I have a 3 years of an experience in iOS ( Swift & Objective C) as an application developer . Integrated Social Networking Sites Facebook, Twit...Read More
To view more profile join Toogit

Get Started
 



Are you looking for Objective C Freelance Job? We’ll help you find the perfect matching job here

Top Earning Freelancers

  • Shalini A.

    Shalini A.

    Business development Executive
  • Syed Rameez H.

    Syed Rameez H.

    Mobile Developer
  • Shilpi G.

    Shilpi G.

    Full stack frontend developer
  • Shital S.

    Shital S.

    QA Engineer

Popular How-To's in Objective C category


 
How to create a solver in python
Scripts & Utilities

Python scipy provides a good number of optimizers/solvers. You can use these optimizers to solve various non-linear and linear equations. However, sometimes thi...

Read More

Articles Related To Objective C


Optimization deals with selecting the simplest option among a number of possible choices that are feasible or do not violate constraints. Python is used to optimize parameters in a model to best fit data, increase profitability of a possible engineering style, or meet another form of objective which will be described mathematically with variables and equations.

 

pyOpt is a Python-based package for formulating and solving nonlinear constrained optimization problems in an efficient, reusable and portable manner. Python programming uses object-oriented concepts, such as class inheritance and operator overloading, to maintain a distinct separation between the problem formulation and the optimization approach used to solve the problem.

 

All optimisation downside solvers inherit from the Optimizer abstract category. The category attributes include the solver name (name), an optimizer kind symbol (category), and dictionaries that contain the solver setup parameters (options) and message output settings (informs). The class provides ways to check and alter default solver parameters (getOption, setOption), as well as a method that runs the solver for a given optimisation problem (solve).

 

Optimization solver

A number of constrained optimization solvers are designed to solve the general nonlinear optimization problem.

  1. PSQP: This optimizer is a preconditioned sequential quadratic programming algorithm. This optimizer implements a sequential quadratic programming method with a BFGS variable metric update.
  2. SLSQP: This optimizer is a sequential least squares programming algorithm. SLSQP uses the Han–Powell quasi-Newton method with a BFGS update of the B-matrix and an L1-test function in the step-length algorithm. The optimizer uses a slightly modified version of Lawson and Hanson’s NNLS nonlinear least-squares solver.
  3. CONMIN: This optimizer implements the method of feasible directions. CONMIN solves the nonlinear programming problem by moving from one feasible point to an improved one by choosing at each iteration a feasible direction and step size that improves the objective function.
  4. COBYLA: It is an implementation of Powell’s nonlinear derivative–free constrained optimization that uses a linear approximation approach. The algorithm is a sequential trust–region algorithm that employs linear approximations to the objective and constraint functions.
  5. SOLVOPT: SOLVOPT is a modified version of Shor’s r–algorithm with space dilation to find a local minimum of nonlinear and non–smooth problems.
  6. KSOPT: This code reformulates the constrained problem into an unconstrained one using a composite Kreisselmeier–Steinhauser objective function to create an envelope of the objective function and set of constraints. The envelope function is then optimized using a sequential unconstrained minimization technique.
  7. NSGA2: This optimizer is a non-dominating sorting genetic algorithm that solves non-convex and non-smooth single and multiobjective optimization problems.
  8. ALGENCAN: It solves the general non-linear constrained optimization problem without resorting to the use of matrix manipulations. It uses instead an Augmented Lagrangian approach which is able to solve extremely large problems with moderate computer time.
  9. FILTERSD: It use of a Ritz values approach Linear Constraint Problem solver. Second derivatives and storage of an approximate reduced Hessian matrix is avoided using a limited memory spectral gradient approach based on Ritz values.

 

To solve an optimization problem with pyOpt an optimizer must be initialized. The initialization of one or more optimizers is independent of the initialization of any number of optimization problems. To initialize SLSQP, which is an open-source, sequential least squares programming algorithm that comes as part of the pyOpt package, use:

>>> slsqp = pyOpt.SLSQP()

This initializes an instance of SLSQP with the default options. The setOption method can be used to change any optimizer specific option, for example the internal output flag of SLSQP:

>>> slsqp.setOption('IPRINT', -1)

Now Schittkowski’s constrained problem can be solved using SLSQP and for example, pyOpt’s automatic finite difference for the gradients:

>>> [fstr, xstr, inform] = slsqp(opt_prob,sens_type='FD')

By default, the solution information of an optimizer is also stored in the specific optimization problem. To output solution to the screen one can use:

>>> print opt_prob.solution(0)

 

Example:

The problem is taken from the set of nonlinear programming examples by Hock and Schittkowski and it is defined as

=======================================================================

      min            − x1x2x3

     x1,x2,x3

 

subjected to     x1 + 2x2 + 2x3 − 72 ≤ 0

                        − x1 − 2x2 − 2x3 ≤ 0

 

                        0 ≤ x1 ≤ 42

                        0 ≤ x2 ≤ 42

                        0 ≤ x3 ≤ 42

 

The optimum of this problem is at (x1∗ , x2∗ , x3* ) = (24, 12, 12), with an objective function value of f ∗ = −3456, and constraint values g (x∗ ) = (0, −72).

 

#======================================================================

# Standard Python modules

#======================================================================

import os, sys, time

import pdb

#======================================================================

# Extension modules

#======================================================================

#from pyOpt import *

from pyOpt import Optimization

from pyOpt import PSQP

from pyOpt import SLSQP

from pyOpt import CONMIN

from pyOpt import COBYLA

from pyOpt import SOLVOPT

from pyOpt import KSOPT

from pyOpt import NSGA2

from pyOpt import ALGENCAN

from pyOpt import FILTERSD

 

#======================================================================

def objfunc(x):

   

    f = -x[0]*x[1]*x[2]

    g = [0.0]*2

    g[0] = x[0] + 2.*x[1] + 2.*x[2] - 72.0

    g[1] = -x[0] - 2.*x[1] - 2.*x[2]

   

    fail = 0

    return f,g, fail  

 

#======================================================================

# Instantiate Optimization Problem

opt_prob = Optimization('Hock and Schittkowski Constrained Problem',objfunc)

opt_prob.addVar('x1','c',lower=0.0,upper=42.0,value=10.0)

opt_prob.addVar('x2','c',lower=0.0,upper=42.0,value=10.0)

opt_prob.addVar('x3','c',lower=0.0,upper=42.0,value=10.0)

opt_prob.addObj('f')

opt_prob.addCon('g1','i')

opt_prob.addCon('g2','i')

print opt_prob

 

# Instantiate Optimizer (PSQP) & Solve Problem

psqp = PSQP()

psqp.setOption('IPRINT',0)

psqp(opt_prob,sens_type='FD')

print opt_prob.solution(0)

 

# Instantiate Optimizer (SLSQP) & Solve Problem

slsqp = SLSQP()

slsqp.setOption('IPRINT',-1)

slsqp(opt_prob,sens_type='FD')

print opt_prob.solution(1)

 

# Instantiate Optimizer (CONMIN) & Solve Problem

conmin = CONMIN()

conmin.setOption('IPRINT',0)

conmin(opt_prob,sens_type='CS')

print opt_prob.solution(2)

 

# Instantiate Optimizer (COBYLA) & Solve Problem

cobyla = COBYLA()

cobyla.setOption('IPRINT',0)

cobyla(opt_prob)

print opt_prob.solution(3)

 

# Instantiate Optimizer (SOLVOPT) & Solve Problem

solvopt = SOLVOPT()

solvopt.setOption('iprint',-1)

solvopt(opt_prob,sens_type='FD')

print opt_prob.solution(4)

 

# Instantiate Optimizer (KSOPT) & Solve Problem

ksopt = KSOPT()

ksopt.setOption('IPRINT',0)

ksopt(opt_prob,sens_type='FD')

print opt_prob.solution(5)

 

# Instantiate Optimizer (NSGA2) & Solve Problem

nsga2 = NSGA2()

nsga2.setOption('PrintOut',0)

nsga2(opt_prob)

print opt_prob.solution(6)

 

# Instantiate Optimizer (ALGENCAN) & Solve Problem

algencan = ALGENCAN()

algencan.setOption('iprint',0)

algencan(opt_prob)

print opt_prob.solution(7)

 

# Instantiate Optimizer (FILTERSD) & Solve Problem

filtersd = FILTERSD()

filtersd.setOption('iprint',0)

filtersd(opt_prob)

print opt_prob.solution(8)

 

Solving non-linear global optimization problems could be tedious task sometimes. If the problem is not that complex then general purpose solvers could work. However, as the complexity of problem increases, general purpose global optimizers start to take time. That is when need to create your problem specific fast and direct global optimizer’s need arises.

 

We have an specialized team with PHD holders and coders to design and develop customized global optimizers. If you need help with one, please feel free to send your queries to us.

 

We first understand the problem and data by visualizing it. After that we create a solution to your needs.

 

Please do read to understand what a solver is and how it works - If you want to create your own simple solver. This is not exactly how every solver works, however, this will give you a pretty solid idea of what is a solver and how it is supposed to work.

In modern online digital world, there are thousands of competitors and everyone has to compete for user attention. How can you differentiate your product from your competitor product? The solution is UX design.

Now a days, the role of UX designer has an interesting and valuable place in business development because user experience designer have a different ideas to create a product and continually look for ways to improving the general experience of the users when they interact with the application or website in order to achieve its objective to provide the maximum customer satisfaction. It keeps customers in mind and creates the basic skeleton of any application. It focuses on the ease of use or wireframing an application and structuring all its elements and components appropriately to create the user flow.

If you have a product or website, no matter how functional, should be understood by a user. The most important step in creating digital product is not only attract visitor but also provide real value to them. If you would like to create a digital product with great user interface and user experience, you need to do a complete researched, and detailed learning to understand your user, and the process of graphic interface design. And you actually need designers to manipulate all these processes. UX design expert have an experience about what your users wants, does, thinks, sees, feels and likes in digital world.

If an app is getting low ratings, bad reviews, and complaints about its usability, or a web site is not generating the expected conversions, it may be time to bring in an UX expert.

Why UX Designer Role is Important

UX is about creating things usable and sensible. UX designers usually spend a lot of time on research and deep data analysis. Depending on the stage of the product and also the quality of the available analytics resources, UX designers draw the proper conclusions as well as make some predictions relating to the product's strengths and weaknesses. UX has involved in element of research, testing, business analysis, project management and wireframing. In the research phase UX designer focus on the end user of the product and the goals of your business and provide a data about what potential customer needed and how to provide the maximum satisfaction to potential customers.

How to hire UX designer?

I am sharing some tips regarding how your business can find and hire the perfect UX Designer to finally improve your usability and conversion rate.

  1. Before going one step towards hiring a UX designer keep in mind that you almost certainly need to hire a UX Designer for increasing the conversion rate of a landing page, to increase sales on the checkout or to boost the onboarding expertise to convert additional trials to paying customers. Write down your main reason and find a right candidate on Toogit.
  2. If you want to find out, Can this UX designer do the job efficiently? Review portfolio, ask questions, and give design exercises. Define your small business task and designer need to do those task before selection, because you need to know, He has to be good at explaining what he does and how something works. Of course you don’t need to understand all the tasks that your designer must do. But you should be ready to tell them your main requirements and expectations.
  3. A good UX designer will always ask a lot of questions about users and how every detail in the product’s functionality is supposed to help add value. If the designer isn’t doing this, you’ve gotten the wrong one.
  4. Post your UX design job post with complete requirement on Toogit. UX Designers on Toogit are highly skilled and talented, hiring UX Designers on Toogit is safe and the money is released to the Freelancer only after you fully satisfied with freelancer's work.

Tips for writing a successful job post

  1. Try to keep the length of the job posting to a single page.
  2. State your expectations and requirements clearly.
  3. What skills do you expect? What tasks and deliverables need to be created?
  4. What is your budget and do you pay by hourly rate or by project completion.
  5. Write a bit regarding your target market and users, why are they interesting to work with.
  6. What challenges would the required Designer need to complete? Why will it be an interesting project to work on?

 

Sample job description

Job title: Need UX Designer to design software and platforms

Job description: 

[Your company short description]

We are searching for an UX Designer to design software system and platforms that meet people’s needs. You’ll combine interfaces and workflows to boost user experience. In this role, you must be an analytical and creative designer who is ready to understand user needs and solve issues. A strong portfolio of successful UX and other technical projects is important. We will pay $25/Hour.

Ultimately, you'll build our product more easy and intuitive to attract and retain customer.

Responsibility:

  1. Create UX deliverables appropriate to the project, including high & low fidelity prototypes, problem analysis, content strategies, user flows, and wireframes.
  2. Understand product specifications and user psychology.
  3. Conduct concept and usability testing and gather feedback.
  4. Define the right interaction model and evaluate its success.
  5. Develop wireframes and prototypes around customer needs.
  6. Work with UI designers to implement attractive designs.
  7. Communicate design ideas and prototypes to developers.

This is a 2 year contract with the possibility for freelancer based on performance.

Project payment will be based on hourly rate.

The global demand for data Science professionals is extremely high because of increasing relevance across various sectors. Data Science has become the most-sought skill because the data is piling along with a surge in different tech fields like Artificial Intelligence, machine learning and data Analytics. Hiring data scientist is being carried across numerous domains like e-commerce, education, retail, telecommunication and much more.

 

In the past years, analysts used excel tools to analyze data. Things are changing now! In this modern world, data-driven decision making is sparkling and technology is advanced in the data industry. The tools and technologies that modern Data Scientists employ are a combination of statistical and Machine Learning algorithms. They are used to discover patterns using predictive models. The future of Data Science is bright and the options for its implementation are extensive.

 

Data Scientists must consistently evolve at the edge of innovation and creativity. They must be aware of the types of models they create. These innovations will allow them to spend time discovering new things that may be of value. Subsequently, the advances in Data Science tools will help leverage existing Data Science talent to a greater extent.

 

So what does a Data Scientist do?

Data Scientists influence a pile of data in an innovative way to discover valuable trends and insights. This approach helps to identify opportunities by implementing research and management tools to optimize business processes by reducing the risks. Data Scientists are also responsible for designing and implementing processes for data mining, research and modeling purposes.

 

Data scientist performs research and analyses data and help companies flourish by predicting growth, trends and business insights based on a large amount of data. Basically, data scientists are massive data wranglers. They take a vast data and use their skills in mathematics, statistics and programming to scrub and organize the information. All their analysis combined with industrial knowledge helps to uncover hidden solutions to business challenges.

 

Generally, a data scientist needs to know what could be the output of the big data he/she is analyzing. He/she also needs to have a clearly defined plan on how the output can be achieved with the available resources and time. Most of all the data scientists must know the reason behind his attempt to analyze the big data.

 

To achieve all of the above, a data scientist may be required to:

 

Every organization has unique data problems with its own complexities. Solving different Data Science problems requires different skill sets. Data Science teams are groups of professionals with varied skill sets. They, as a team, solve some of the hardest data problems an organization might face. Each member contributes distinctive skill set required to complete a Data Science project from start to finish.

 

The Career Opportunities:

The careers associated with data science are generally categorized into five.

 

  1. Statisticians: Statisticians work usually for national governments, marketing research firms and research institutes. Extracting information from massive databases through numerous statistical procedures is what they do.
  2. Data Analyst: Telecommunication companies, manufacturing companies, financial companies etc. hire data scientists to analyze their data. A data analyst keeps track of various factors affecting company operation and make visual graphics.
  3. Big Data and Data Mining Engineer: Tech companies, retail companies and recreation companies use data scientists as data mining engineers. They have to gather and analyze huge amounts of data, typically from unstructured information.
  4. Business Intelligence Reporting Professional: They work for tech companies, financial companies, and consulting companies etc. Market research is the primary objective of this job. They also generate various reports from the structured data to improve the business.
  5. Project Manager: A project manager evaluates data and insights fetched from the operational departments and influences the business decisions. They have to plan the work and make sure everything goes in accordance with the plan.

Articles Related To Objective C


How to solve non-linear optimization problems in Python
How to solve non-linear optimization problems in P...
Other - Software Development

Optimization deals with selecting the simplest option among a number of possible choices that are feasible or do not violate constraints. Python is used to opti...

Read More
 
Hire User Experience Designer for Right Balance be...
Other - Software Development

In modern online digital world, there are thousands of competitors and everyone has to compete for user attention. How can you differentiate your product from y...

Read More
Scope and Career Opportunities of Data Science
Scope and Career Opportunities of Data Science
Data Extraction / ETL

The global demand for data Science professionals is extremely high because of increasing relevance across various sectors. Data Science has become the most-soug...

Read More

What our users are discussing about Objective C