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Unconstrained minimization
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Part 1 book "Nonlinear systems and optimization for the chemical engineer - Solving numerical problems" includes content: Function root finding, one dimensional optimization, unconstrained optimization, large scale unconstrained optimization, robust unconstrained minimization, robust function root finding.
256p
muasambanhan09
04-03-2024
1
0
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Lecture Convex optimization - Chapter: Unconstrained minimization. This chapter presents the following content: Terminology and assumptions, gradient descent method, steepest descent method, Newton’s method, self-concordant functions, implementation.
30p
runthenight09
16-05-2023
4
3
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(BQ) Ebook Numerical Method for unconstrained optimization and nonlinear equations: Part 1 presents the following content: Nonlinear problems in one variable, numerical linear algebra background, multivariable calculus background, Newton's method for nonlinear equations and unconstrained minimization, globally convergent modifications of Newton's Method.
171p
runordie6
10-08-2022
20
4
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(BQ) Ebook Numerical Method for unconstrained optimization and nonlinear equations: Part 2 presents the following content: Stopping, scaling, and testing; Secant methods for systems of nonlinear equations; Secant methods for unconstrained minimization; nonlinear least squares; methods for problems with special structure; Appendix A - A modular system of algorithms for unconstrained minimization and nonlinear equations.
224p
runordie6
10-08-2022
18
3
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Part 2 of book "Introduction to machine learning" provide with knowledge about: optimization; unconstrained smooth convex minimization; online learning and boosting; conditional densities; kernels and function spaces; linear models;...
136p
britaikridanik
05-07-2022
32
4
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A new stable quadratic minimization method on a half-space is presented. In case of normally solvable operators this method outperforms approximate solutions having the same optimal order accuracy as earlier methods for unconstrained problems.
8p
vinguyentuongdanh
20-12-2018
28
0
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9 Unconstrained optimization Find the maximum or minimum point of a single variable function by differentiation and checking first-order and second-order conditions. Use calculus to help find a firm’s profit-maximizing output. Find the optimum order size for a firm wishing to minimize the cost of holding inventories
19p
thegun16
26-11-2010
74
6
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