'Golden section search' presentation slideshows

Teaching an Introductory Course in Mathematical Modeling Using Technology

Teaching an Introductory Course in Mathematical Modeling Using Technology. Dr.William P. Fox. Francis Marion University Florence, SC 29501 wfox@fmarion.edu. Agenda. Mathematical Modeling Process Modeling Course and book Modeling Toolbox Explicative Models Model Fitting

1.22k views • 51 slides

Optimization

Optimization. COS 323. Ingredients. Objective function Variables Constraints. Find values of the variables that minimize or maximize the objective function while satisfying the constraints. Different Kinds of Optimization.

473 views • 40 slides

Chap 5. Numerical Methods for Unconstrained Optimum Design

Chap 5. Numerical Methods for Unconstrained Optimum Design. Nonlinear Programming(NLP) for unconstrained analytical method using K-T cond is difficult to use for engineering problems since ? need to solve large dimension ? nonlinearity ? cost/constraint funcs are implicit in terms of dv.

556 views • 29 slides

Chap 5. Numerical Methods for Unconstrained Optimum Design

Chap 5. Numerical Methods for Unconstrained Optimum Design. Nonlinear Programming(NLP) for unconstrained analytical method using K-T cond is difficult to use for engineering problems since ? need to solve large dimension ? nonlinearity ? cost/constraint funcs are implicit in terms of dv.

501 views • 29 slides

Least Squares example

Least Squares example. There are 3 mountains u,y,z that from one site have been measured as 2474 ft., 3882 ft., and 4834 ft.. But from u, y looks 1422 ft. taller and the z looks 2354 ft. taller , and from y, z looks 950 ft. taller. Set up the overdetermined system. 2474 3882 4834 1422

539 views • 21 slides

Estimating Hypermutation Rates During In Vivo Immune Responses

270 views • 18 slides

Mer439 - Design of Thermal Fluid Systems Optimization Techniques Professor Anderson

Mer439 - Design of Thermal Fluid Systems Optimization Techniques Professor Anderson Spring Term 2012. Modeling/Simulation. Need Identified. Problem Definition. Workable Design. Concept Generation. Optimization/ Optimal Design. Concept Selection. Optimization in Design. Optimization.

441 views • 17 slides

Golden section method

Golden section method. Professor: Dr. Sahand Daneshvar Presented by: Mahdi banar. Problem Statement. Basic Definitions. The function f (x ) is usually called the objective function. gi (x ) ? 0, I = 1 ;:::; n g, is called an inequality constraint .

368 views • 14 slides