Code covered by the BSD License
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evallag (f, c, x, lambda)
Evaluate the lagrangian system and it's first derivative in a pair
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evbranin(x)
Name: Branin
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evbrown(x)
Name: Brown's Almost Linear
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evbullardbiegler(x)
Name: Bullard&Biegler
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evcg11(x)
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evcg13(x)
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evcg3(x)
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evcombustion(x)
Name: Equilibrium Combustion
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eveasom(x)
Name: Easom
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evferraristronconi(x)
Name: Ferraris&Tronconi
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evfg11(x)
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evfg13(x)
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evfg3(x)
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evgoldsteinprice(x)
Name: Goldstein&Price
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evgriewank(x)
Name: Griewank
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evhimmelblau(x)
Name: Himmelblau
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evhumpcamel(x)
Name: Three Hump Camel
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evkubicek(x)
Name: Kubicek
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evlevy(x)
Name: Levy
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evmichalewicz(x)
Name: Michalewicz
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evrastrigin(x)
Name: Rastrigin
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evrosenbrock(x)
Name: Rosenbrock
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evshubert(x)
Name: Shubert
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evsmith(x)
Name: Smith
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evtrigonometric(x)
Name: Trigonometric
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intdiv(a, b)
Extended interval division. This implementation follows the technical
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intksolve(f, x0, options)
Apply the Krawczyk operator to test existence of zeros of a nonlinear
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intmincon(f, x0, nonlcon, opt...
Find the global minima of a function f inside a box x0 subject to
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intminunc(f, x0, options)
Find the global minima of a function f inside the box x0. The user must
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intoptimget(options)
Display parameters setted by an option vector. If no input arguments are
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intoptimset()
Create an optimization options vector. To change default settings on
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intsolve(f, x0, options)
Find all zeros of a nonlinear system of equations inside an
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nonnullgs (X, x, b, M)
Perform one step of the interval gauss seidel method to solve the problem
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nullgs (X, x, b, M)
Perform one step of the interval gauss seidel method to solve the problem
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sibranin(type)
Branin problem initial data.
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sibrown(type)
Brown Almost linear problem initial data.
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sibullardbiegler(type)
Bullard&Biegler problem initial data.
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sicombustion(type)
Combustion problem initial data.
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sieasom(type)
Rastrigin problem initial data.
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siferraristronconi(type)
Ferraris&Tronconi problem initial data.
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sig11(type)
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sig13(type)
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sig3(type, n)
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sigoldsteinprice(type)
Goldstein&Price problem initial data.
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sigriewank(type, n)
Griewank's problem initial data.
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sihimmelblau(type)
Himmelblau problem initial data.
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sihumpcamel(type)
Three hump camel problem initial data.
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sikubicek(type)
Kubicek problem initial data.
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silevy(type, n)
Levy's problem initial data.
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simichalewicz(type, n)
Michalewicz's problem initial data.
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sirastrigin(type, n)
Rastrigin problem initial data.
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sirosenbrock(type, n)
Ronsenbrock's problem initial data.
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sishubert(type)
Shubert's problem initial data.
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sismith(type)
Smith problem initial data.
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sitrigonometric(type, n)
Trigonometric problem initial data.
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View all files
INTSOLVER: An interval based solver for Global Optimization
by Tiago Montanher
03 Sep 2009
Interval based functions to solve small global optimization problems with guaranteed bounds.
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Watch this File
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| File Information |
| Description |
We present a set of functions based on interval arithmetic to solve small size global optimization problems with guaranteed bounds on solutions. Interval analysis can be used to bound ALL solutions of nonlinear optimization problem, equality constrained or not as well to bound ALL solutions of a nonlinear system of equation. Our functions can deal with these problems using an implementation of the interval Newton method with a bissection scheme. The capabilities of our functions can be showed through the analysis of some important global optimization examples that we provide with the main functions. |
| MATLAB release |
MATLAB 7.7 (R2008b)
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| Other requirements |
INTLAB available at http://www.ti3.tu-harburg.de/~rump/intlab/ |
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