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Top 33 Print Design Freelancers on 24 May 2019 on Toogit. Print Design Freelancers on Toogit are highly skilled and talented. Hiring Print Design Freelancers on Toogit is quite affordable as compared to a full-time employee and you can save upto 50% in business cost by hiring Print Design Freelancers on Toogit. Hiring Print Design Freelancers on Toogit is 100% safe as the money is released to the Freelancer only after you are 100% satisfied with the work.

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Emilia Graphic Designer, Canada
$20 /hr
3 Years Exp.
0 Followers
I am a graphic designer with more than 3 years of experience.
Sharif JoeySenior Visualiser, India
$14 /hr
4 Years Exp.
0 Followers
I am a Graphic Designer with 4+ yrs of experience. Passionate about my work..been working for various MNC companies. Looking for freelance work to exp...Read More
Laura Graphic Designer, Canada
$35 /hr
10 Years Exp.
0 Followers
I am a communication designer with more than 10 years of experience building print projects, packaging, in-store and tradeshow displays, websites and...Read More
Rhea GoelCreative Director, India
$20 /hr
3 Years Exp.
0 Followers
I am the Creative Director at Artea. A design studio based in India. We are a one stop design solution. Our services include branding, packaging, prin...Read More
Aleksandr DikovCreative Designer, Russia
$18 /hr
12 Years Exp.
0 Followers
I have five years experience in print design and advertising, two years I worked in GameDev industry, and for six years provide services as a freelanc...Read More
Lavanya BabbarDesigner, India
$50 /hr
6 Years Exp.
0 Followers
We make a living by solving complex problems with simple design. We're pretty skilled with Branding, Packaging Design, Brochure Design, Advert...Read More
Aishwarya Akbari Prints&Graphics By Aishwarya, India
$7 /hr
1 Years Exp.
0 Followers
I am a Textile Designer from National Institute of Fashion Technology, with a work experience of 1 year and freelancing for prints and graphics is my...Read More
Sara Graphic Designer, Croatia
$15 /hr
10 Years Exp.
0 Followers
Professional graphic designer with 10 years of active working experience in a printing company and online freelancing. In December 2018, I decided to...Read More
Aaki MngrIllustrator and Visual Designer, India
$26 /hr
3 Years Exp.
0 Followers
I am an Illustrator / visual designer with 3 years of experience in different fields of Design. My experience includes- developing designs for website...Read More
Jitamitra BagchiSoftware Consultant, India
$5 /hr
5 Years Exp.
0 Followers
I am a Printing Engineer , specializing in Software Application, having a 7+ years experience. I am also specialized in Digital Marketing.
Nishant Kapurgraphic designer, India
$10 /hr
5 Years Exp.
0 Followers
Hi my name is nishant Kapur I am a graphic designer i have done my graduation in multimedia and graphics I have 5 year experience I have knowledge abo...Read More
Somya RohatgiGarment screen print designer , India
$9 /hr
4 Years Exp.
0 Followers
I am a fashion designer with 3.5years of experience as a print designer. I specialise in screen print. Love to work with illustrator and corel draw.
Neelima AgrawalGraphic designer, India
$8 /hr
3 Years Exp.
0 Followers
I am a self taught graphic designer from Indian. Creates eye-candy designs.
Monique AounSenior Graphic Designer, Canada
$37 /hr
7 Years Exp.
0 Followers
Designing is my passion. Not only my passion, but a keen creative mind combined with the business insight and intelligence to know how to effectively...Read More
Rachel Graphic Designer, United States
$15 /hr
50 Years Exp.
0 Followers
Hi I'm Rachel and I want to use my skills and creativity to help businesses and individuals reach their full potential. I believe that at the hea...Read More
Hi! I'm Graphic & web designer in the field since 2011. Please visit MjPanchal.com for more info and see my work. Thank you.
Repalle SarmyasreeTextile designer, India
$6 /hr
0 Years Exp.
0 Followers
I'm Textile designer graduated from NIFT, Chennai(2018). I'm looking for an opportunity to implement my knowledge and skills in print and su...Read More
Amit GandhiGRAPHIC/VISUAL ART DESIGNER/EDITOR, India
$7 /hr
2 Years Exp.
0 Followers
Creative, hard-working graphic designer and editor who stands out. Seeking to creative and storytelling work of art. I’ve got a unique mix of creativi...Read More
Chingrimi ShimrayExperimentalist , India
$0 /hr
2 Years Exp.
0 Followers
I am a Textile Designer .
Sania Shaikhtextile designer, India
$4 /hr
0 Years Exp.
0 Followers
HI I have recently competed my POST GRADUATION in textile design from university of Southampton-UK and I specialize in digital, hand print,produc...Read More
Ritika GuptaTextile Designer, India
$5 /hr
1 Years Exp.
0 Followers
Though a fresher in the field of designing , I am trained in one the best colleges of Fashion . I aspire to learn with every passing day , after achie...Read More
Kiran SontakkeGraphic Designer, India
$2 /hr
4 Years Exp.
0 Followers
I am certified Garphic Designer. I have 3+ year experience in print media and digital media.
Kushal GhoshGraphic Design and Social Media consultant, India
$3 /hr
12 Years Exp.
0 Followers
I am a certifies Graphic Designer with 12 years of experience in Designing, Print and Digital . I am looking for an opportunity to freelance or consul...Read More
Darshna SukumarFashion & Print Designer, India
$100 /hr
3 Years Exp.
0 Followers
With my extensive experience in apparel design and development, as well as my proven commitment to brand building, I feel confident that I would signi...Read More
Anuja PatwardhanGraphic Designing, India
$4 /hr
10 Years Exp.
0 Followers
Expertise in Layouts of Print Media Conceptual based designs
I am a Textile Designer with more than 16yrs of experience, I am Artistic, Creative, have an eye for color, texture, and pattern, good attention to d...Read More
Rajat KatiyarFreelance Designer, India
$100 /hr
4 Years Exp.
0 Followers
I am a certified Freelance Designer with forte in prints, logo, layout, business card etc.
Oleksandr Print design (20+ years), Mobirise web pages, Ukraine
$20 /hr
20 Years Exp.
0 Followers
I'm good at: • InDesign • Illustrator • Photoshop • PDF • Pre-Press • QuarkXpress 2017 • Serif PagePlus X9 • Affinity Designer For print material...Read More
Having more than 4 years experience in Graphic Design, I tend to select jobs that requires my drawing and creativity skills Vector and Vexel Art C...Read More
I am a qualified Professional Graphic / Web/ Logo designer with over 9 years experience in design industry. I have a serious passion for all categorie...Read More
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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.

Cascading Style Sheets (CSS) is a style sheet language used for describing the presentation of a document written in a markup language like HTML. CSS is a cornerstone technology of the World Wide Web, alongside HTML and JavaScript

 

CSS is designed to enable the separation of presentation and content, including layout, colors, and fonts. This separation can improve content accessibility, provide more flexibility and control in the specification of presentation characteristics, enable multiple web pages to share formatting by specifying the relevant CSS in a separate .css file, and reduce complexity and repetition in the structural content.

 

Separation of formatting and content also makes it feasible to present the same markup page in different styles for different rendering methods, such as on-screen, in print, by voice (via speech-based browser or screen reader). CSS also has rules for alternate formatting if the content is accessed on a mobile device.

 

The name cascading comes from the specified priority scheme to determine which style rule applies if more than one rule matches a particular element. This cascading priority scheme is predictable.

 

The CSS specifications are maintained by the World Wide Web Consortium (W3C). Internet media type (MIME type) text/css is registered for use with CSS by RFC 2318 (March 1998). The W3C operates a free CSS validation service for CSS documents.

 

In addition to HTML, other markup languages support the use of CSS, including XHTML, plain XML, SVG, and XUL.

Cascading Style Sheets (CSS) is a style sheet language used for describing the presentation of a document written in a markup language like HTML. CSS is a cornerstone technology of the World Wide Web, alongside HTML and JavaScript

 

CSS is designed to enable the separation of presentation and content, including layout, colors, and fonts. This separation can improve content accessibility, provide more flexibility and control in the specification of presentation characteristics, enable multiple web pages to share formatting by specifying the relevant CSS in a separate .css file, and reduce complexity and repetition in the structural content.

 

Separation of formatting and content also makes it feasible to present the same markup page in different styles for different rendering methods, such as on-screen, in print, by voice (via speech-based browser or screen reader). CSS also has rules for alternate formatting if the content is accessed on a mobile device.

 

The name cascading comes from the specified priority scheme to determine which style rule applies if more than one rule matches a particular element. This cascading priority scheme is predictable.

 

The CSS specifications are maintained by the World Wide Web Consortium (W3C). Internet media type (MIME type) text/css is registered for use with CSS by RFC 2318 (March 1998). The W3C operates a free CSS validation service for CSS documents.

 

In addition to HTML, other markup languages support the use of CSS, including XHTML, plain XML, SVG, and XUL.

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