# Stochastic simultaneous optimistic optimization in matlab

The following Matlab project contains the source code and Matlab examples used for stochastic simultaneous optimistic optimization. This is a blackbox function optimization toolkit that finds the global optimum of a function given a finite budget of noisy evaluations.

# A new global optimization method based on clustering in matlab

The following Matlab project contains the source code and Matlab examples used for a new global optimization method based on clustering. This method is basically similar the other evolutionary methods.

# Calculate vertices of feasible set given linear constraints (r^2). in matlab

The following Matlab project contains the source code and Matlab examples used for calculate vertices of feasible set given linear constraints (r^2). .     This function computes:       (a) the set of vertices of the R^2 polygon defined by the linear           constraints in ['dirs', 'levels'], and       (b) a boolean (logical) vector of which constraints are binding.

The following Matlab project contains the source code and Matlab examples used for quadratic solver. Finds the solutions to f(x) = 0 for a quadratic function in the form f(x) = ax^2 + bx + c. Solutions are graphed with original function. Feel free to change graphing parameters. Enjoy :)

# Optimization in matlab an introduction to quadratic programming

The following Matlab project contains the source code and Matlab examples used for optimization in matlab an introduction to quadratic programming. A control strategy for optimal operation of a hydroelectric dam is found through nonlinear and quadratic programming techniques.

# Flower pollination algorithm in matlab

The following Matlab project contains the source code and Matlab examples used for flower pollination algorithm . This matlab demo code shows how to use the new flower algorithm to solve unconstrained global optimization problems.

# Rapidly find all extrema points of an n-dimensional array in matlab

The following Matlab project contains the source code and Matlab examples used for rapidly find all extrema points of an n-dimensional array . Search all the maxima and minima points.

# Dynamic optimization with the apmonitor toolbox in matlab

The following Matlab project contains the source code and Matlab examples used for dynamic optimization with the apmonitor toolbox. This tutorial covers the APM toolbox of MATLAB to solve and optimize parameters to match measurements in a dynamic system. http://youtu.be/pOXcOWMo5Hs In this exercise, the model is simulated and optimized simultaneously through an orthogonal collocation on finite elements.

# Backtracking armijo type in matlab

The following Matlab project contains the source code and Matlab examples used for backtracking armijo type. In (unconstrained) optimization, the backtracking linesearch strategy is used as part of a line search method, to compute how far one should move along a given search direction.

# Optimization tools line search methods for function n dim in matlab

The following Matlab project contains the source code and Matlab examples used for optimization tools line search methods for function n dim. This package contains four optimization's algorithm directional research-based of the minimum of a function of N variables.

# A code for solving non-linear optimization problems with matrix inequality constraints. in matlab

The following Matlab project contains the source code and Matlab examples used for a code for solving non-linear optimization problems with matrix inequality constraints. . fminsdp is a code for solving general (small-scale) smooth, non-linear and non-convex optimization problems with both scalar constraints and matrix inequality constraints.

# Find pareto frontier in matlab

The following Matlab project contains the source code and Matlab examples used for find pareto frontier. %-------------------------------------------------------------------------- % This function identifies the pareto frontier of a set of points (assuming % smaller values are more desirable) %-------------------------------------------------------------------------- % Input: input, a matrix, each row correspondes to a point, each column % correspond to a dimension %-------------------------------------------------------------------------- % Outputs:

# Mixed integer linear programming in matlab

The following Matlab project contains the source code and Matlab examples used for mixed integer linear programming in matlab. These files accompany the webinar which can be viewed here: http://www.

# Aerospace trajectory optimization using direct transcription and collocation in matlab

The following Matlab project contains the source code and Matlab examples used for aerospace trajectory optimization using direct transcription and collocation. In the language of optimal control theory, this problem is a “continuous system with functions of the state variables prescribed at a fixed terminal time”.

# Cab (algorithm for global optimization inspired by collective animal behavior) in matlab

The following Matlab project contains the source code and Matlab examples used for cab (algorithm for global optimization inspired by collective animal behavior). A metaheuristic algorithm for global optimization called the collective animal behavior (CAB) is introduced.

# A new optimization algorithm inspired by the states of matter in matlab

The following Matlab project contains the source code and Matlab examples used for a new optimization algorithm inspired by the states of matter . The ability of an Evolutionary Algorithm (EA) to find a global optimal solution depends on its capacity to find a good rate between exploitation of found so far elements and exploration of the search space.

# Non convex compressed sensing for non gaussian noise in matlab

The following Matlab project contains the source code and Matlab examples used for non convex compressed sensing for non gaussian noise. optimization of the form min ||x||_p subject to ||y-Ax||_q<e p should be between 0 and 1 to promote sparsity.

# Engineering optimization an introduction with metaheuristic applications in matlab

The following Matlab project contains the source code and Matlab examples used for engineering optimization an introduction with metaheuristic applications. A few popular metaheuristic algorithms are included, such as the particle swarm optimization, firefly algorithm, harmony search and others.

# A matlab toolbox for nonlinear least squares optimization.

The following Matlab project contains the source code and Matlab examples used for a matlab toolbox for nonlinear least squares optimization. . * Same interface but better than 'lsqnonlin'. * Levenberg-Marquardt algorithm. * Support bounded constraints. * Support using finite difference to compute Jacobian matrix.

# Sequential Quadratic Programming Matlab Code

The following matlab project contains the source code and matlab examples used for sequential quadratic programming.

# Constrained hermite taylor series least squares in matlab

The following Matlab project contains the source code and Matlab examples used for constrained hermite taylor series least squares. Like the finite difference method, the Taylor Series Least Squares method can be used to estimate derivatives.

# Stochastic radial basis function algorithm for global optimization in matlab

The following Matlab project contains the source code and Matlab examples used for stochastic radial basis function algorithm for global optimization. The Stochastic Radial Basis Function Algorithm aims at solving computationally expensive continuous black-box global optimization problems with box constraints.

# Intsolver an interval based solver for global optimization in matlab

The following Matlab project contains the source code and Matlab examples used for intsolver an interval based solver for global optimization. We present a set of functions based on interval arithmetic to solve small size global optimization problems with guaranteed bounds on solutions.

# Optimization of a predicted response value of a fitted quadratic equation. in matlab

The following Matlab project contains the source code and Matlab examples used for optimization of a predicted response value of a fitted quadratic equation. . This m-file is a canonical analysis for exploring and exploiting a fitted quadratic response surface by its stationary point.

# Frequency domain min max optimization for delta sigma modulators in matlab

The following Matlab project contains the source code and Matlab examples used for frequency domain min max optimization for delta sigma modulators. The MATLAB codes are based on our recent paper: M.

# Stochastic gradient descent in matlab

The following Matlab project contains the source code and Matlab examples used for stochastic gradient descent. Solving the unconstrained optimization problem using stochastic gradient descent method.

# Simplified gradient descent optimization in matlab

The following Matlab project contains the source code and Matlab examples used for simplified gradient descent optimization. This example was developed for use in teaching optimization in graduate engineering courses.

# Histogram binwidth optimization in matlab

The following Matlab project contains the source code and Matlab examples used for histogram binwidth optimization. function [optN, C, N] = sshist(x,N) % [optN, C, N] = sshist(x,N) % % Function `sshist' returns the optimal number of bins in a histogram % used for density estimation.

# Multivariate nonlinear optimization using marquardt method in matlab

The following Matlab project contains the source code and Matlab examples used for multivariate nonlinear optimization using marquardt method. We use the power of symbolic toolbox in order to find the optimal point in an arbitrary multivariate function Change the following code based on your objective function and run the program %Function F in Symbolic Format a='(x1^2+x2-11)^2+(x1+x2^2-7)^2'; The code will iterate and converge to x and y of the optimal point .