Nonlinear programming problem

Part 1 book "Hybrid systems, optimal control and hybrid vehicles - Theory, methods and applications" includes content: Introduction, introduction to nonlinear programming, hybrid systems and hybrid optimal control, the minimum principle and hamilton - jacobi - bellman equation; discretization and integration schemes for hybrid optimal control problems; dynamic programming; indirect methods for optimal control.

257p dianmotminh03 11-06-2024 2 1   Download

The paper "Nonlinear finite element approach for contact problems in hyper-elastic models" considers the contact problems between hyper-elastic bodies by using finite element analysis (FEA). In this study, high-order elements is used with its advantages such as less element usage, more accurate results and geometrical flexibility... The contribution of this paper is development of programs that can calculate and simulate the specific contact problem between hyper-elastic bodies.

10p dathienlang1012 03-05-2024 1 0   Download

The developed program has been successfully implemented to model and simulate the forming process, considering various aspects of the problem. The results of the solutions have been compared and evaluated, leading to important conclusions. The research also outlines future developments in this field. It is hoped that the results and understanding of this research will contribute to the field of computational mechanics and inspire further research.

9p dianmotminh02 03-05-2024 3 1   Download

In this paper, a dynamic multi-product multi-period lot sizing with supplier selection problem (DLSSP) with quantity discount, expiry dates, and budget availability is presented. Demand of products for each period are independent and known. The cost consists of ordering, purchasing, transportation, expiry, holding, and interest charge.

12p longtimenosee10 26-04-2024 3 1   Download

Part 2 book "Nonlinear systems and optimization for the chemical engineer - Solving numerical problems" includes content: Nonlinear systems, underdimensioned nonlinear systems, constrained minimization, linear programming, quadratic programming, constrained minimization - penalty and barrier functions, constrained minimization - active set methods, parametric continuation in optimization and process control.

268p muasambanhan09 04-03-2024 3 0   Download

Ebook "Multicriteria optimization" provides the necessary mathematical foundation of multicriteria optimization to solve nonlinear, linear and combinatorial problems with multiple criteria. Motivational examples illustrate the use of multicriteria optimization in practice. Numerous illustrations and exercises as well as an extensive bibliography are provided.

329p loivantrinh 29-10-2023 9 2   Download

Continued part 1, part 2 of ebook "Operations research: Principles and applications" provides readers with contents including: integer programming; network problems; solutions to selected numerical problems; travelling salesman and distribution problems; dynamic programming; basic queueing models; nonlinear programming; deterministic inventory models; project management CPM and PERT; miscellaneous topics;...

274p hanlinhchi 29-08-2023 7 5   Download

The nonlinear kinematic wave model is developed from the Saint Venant system of equations, which includes a nonlinear kinematic wave program that solves the system of equations by Newton's iterative method and a linear kinematic wave program for calculations initial flow value. The developed model is tested with sample problems and compared with the simulation results by Mike 11 model on Tra Khuc river.

13p viironman 02-06-2023 7 3   Download

Lecture Convex optimization - Chapter: Introduction. This chapter presents the following content: Mathematical optimization, least-squares and linear programming, convex optimization, example, course goals and topics, nonlinear optimization, brief history of convex optimization.

15p runthenight09 16-05-2023 9 3   Download

An Interior-point algorithm with a line-search globalization is proposed for solving the general nonlinear programming problem. At each iteration, the search direction is obtained as a resultant of two orthogonal vectors. They are obtained by solving two square linear systems. An upper-triangular linear system is solved to obtain the Lagrange multiplier vector. The three systems that must be solved each iteration are reduced systems obtained using the projected Hessian technique. This fits well for large-scale problems.

16p nguaconbaynhay11 07-04-2021 14 1   Download

The paper presents 3D simulation of robot Stanford using Labview. The simulation program involves two working modes: automation mode and manual mode. In the automation mode, robot Stanford works with known trajectory resulted by resolving optimization problems. In the manual mode, the moving of the robot is controlled by external joystick

5p chauchaungayxua11 23-03-2021 22 4   Download

A Matlab implementation of the algorithm was used and tested against some existing codes. In addition, four case studies were presented to test the performance of the proposed algorithm. The results showed that the algorithm out perform some existing methods in literature.

17p trinhthamhodang9 10-12-2020 18 1   Download

Genome-scale models of metabolism and macromolecular expression (ME) significantly expand the scope and predictive capabilities of constraint-based modeling. ME models present considerable computational challenges: they are much (> 30 times) larger than corresponding metabolic reconstructions (M models), are multiscale, and growth maximization is a nonlinear programming (NLP) problem, mainly due to macromolecule dilution constraints.

10p vioklahoma2711 19-11-2020 18 0   Download

Chapter 8 "Network optimization models", after completing this chapter, you should be able to: State why network models are important tools for problem solving, describe the kinds of problems that can be solved using the shortest-route algorithm and use the algorithm to solve typical shortest-route problems, formulate the shortest-route problem as a linear programming problem,...

37p koxih_kothogmih6 22-09-2020 15 2   Download

Chapter 9 - Nonlinear Programming. After completing this chapter, you should be able to: Explain the difference between optimization problems that can be solved using linear programming methods and those that require nonlinear programming or calculus-based methods; find the optimal values of the decision variable and the objective function in problems that involve one decision variable (unconstrained and constrained); solve one-decision variable problems with a nonlinear objective function using Excel;...

32p koxih_kothogmih6 22-09-2020 34 2   Download

Chapter 9 - Supplement "Mini review of differential arithmetic", after completing this chapter, you should be able to: Differentiate basic algebraic functions, find the optimal values of the decision variables and the objective function in problems that involve two decision variables and one inequality constraint, solve two-decision-variable problems with a nonlinear objective function and multiple constraints using Excel.

9p koxih_kothogmih6 22-09-2020 13 2   Download

In this paper, one-stage and two-stage nonlinear programming problems are investigated in order to evaluate the efficiency of two types of network data envelopment analysis model.

14p tohitohi 22-05-2020 13 0   Download

This paper presents some results of geological construction characteristics by depth of the Southwest Cay Island’s coral foundation, the Spratlys Islands, and the interaction between pipe and coral foundation under the effect of load of shockwave bombs. The problem of interaction between the pipes and coral foundation is resolved on the basis of finite element method and Matlab programming.

11p vithomasedison2711 14-08-2019 22 0   Download

We consider a general class of nonlinear constrained optimization problems, where derivatives of the objective function and constraints are unavailable. This property of problems can often impede the performance of optimization algorithms. Most algorithms usually determine a quasi-Newton direction and then use line search techniques.

17p danhdanh27 07-01-2019 21 1   Download

A class of multiobjective fractional programming problems (MFP) is considered where the involved functions are locally Lipschitz. In order to deduce our main results, we introduce the definition of (p,r) − ρ − (η,θ) - invex class about the Clarke generalized gradient. Under the above invexity assumption, sufficient conditions for optimality are given. Finally, three types of dual problems corresponding to (MFP) are formulated, and appropriate dual theorems are proved.

20p vinguyentuongdanh 19-12-2018 26 1   Download