Tag: OPTIMIZATION

Free Download Optimization of Aerosol Drug Delivery By Ola Nerbrink (auth.), Leon Gradoń, Jan Marijnissen (eds.)
2003 | 315 Pages | ISBN: 9048164362 | PDF | 21 MB
Aerosol therapy has significantly improved the treatment of a variety of respiratory diseases. Besides the treatment of respiratory diseases there is currently also a great interest to use the lungs as a portal to introduce drugs for systemic therapy. The success of therapy with the application of aerosolized medicaments depends on the possibility to deliver the proper amount of drug to the appropriate sites in the respiratory system, thus limiting the side effects to a minimum. Aerosolized delivery of drugs to the lung is optimized if, for a given chemical composition of a medicine, the target of deposition and the required mass of drug to be deposited are precisely defined. The next step is the specification of the number of respirable particles or droplets, to be generated by appropriate devices. Another very important factor for successful aerosol therapy is the condition of the patient coupled with his or her inhalation technique.

Free Download Numerical Methods for Differential Equations, Optimization, and Technological Problems: Dedicated to Professor P. Neittaanmäki on His 60th Birthday By Ronald H. W. Hoppe, Christopher Linsenmann (auth.), Sergey Repin, Timo Tiihonen, Tero Tuovinen (eds.)
2013 | 444 Pages | ISBN: 9400752873 | PDF | 12 MB
This book contains the results in numerical analysis and optimization presented at the ECCOMAS thematic conference "Computational Analysis and Optimization" (CAO 2011) held in Jyväskylä, Finland, June 9-11, 2011. Both the conference and this volume are dedicated to Professor Pekka Neittaanmäki on the occasion of his sixtieth birthday. It consists of five parts that are closely related to his scientific activities and interests: Numerical Methods for Nonlinear Problems; Reliable Methods for Computer Simulation; Analysis of Noised and Uncertain Data; Optimization Methods; Mathematical Models Generated by Modern Technological Problems. The book also includes a short biography of Professor Neittaanmäki.

Free Download Machine Learning Hybridization and Optimization for Intelligent Applications (Computational Intelligence Techniques) by Tanvir Habib Sardar, Bishwajeet Kumar Pandey
English | October 28, 2024 | ISBN: 1032737530 | 366 pages | MOBI | 10 Mb
This book discusses state-of-the-art reviews of the existing machine learning techniques and algorithms including hybridizations and optimizations. It covers applications of machine learning via artificial intelligence (AI) prediction tools, discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, pattern recognition approaches to functional magnetic resonance imaging, image and speech recognition, automatic language translation, medical diagnostic, stock market prediction, traffic prediction, and product automation.

Free Download Antennas for Industrial and Medical Applications with Optimization Techniques for Wireless Communication
English | 2025 | ISBN: 1032774975 | 268 Pages | PDF EPUB (True) | 31 MB
The text begins by covering the fundamental concepts and new advances in the field of antenna theory, antenna hardware, and propagation. It further explains the designing of metamaterials microstrip patch antennas for medical applications, photonic crystals of millimeter wave signals for 5G communications, dual-band miniaturized circular antennas for wireless networks, and ultra-thin compact flexible antennas for wearable applications.

Free Download Recent Developments in Optimization: Seventh French-German Conference on Optimization By Walter Alt (auth.), Prof. Roland Durier, Prof. Christian Michelot (eds.)
1995 | 356 Pages | ISBN: 3540600418 | PDF | 12 MB
The main objective of this volume is to provide a presentation and discussion of recent developments in optimization and related fields. Equal emphasis is given to theoretical and practical studies. All the papers in this volume contain original results except two of them which are survey contributions. They deal with a wide range of topics such as optimization and variational inequalities, sensitivity and stability analysis, control theory, convex and nonsmooth analysis, and numerical methods.

Free Download Radar Array Design Using Optimization Theory
by Guolong Cui, Junli Liang, Bin Liao, Xiangrong Wang and Lingjiang Kong
English | 2024 | ISBN: 183953933X | 337 pages | True PDF | 22.21 MB

Free Download Optimization and Optimal Control in a Nutshell
English | 2024 | ISBN: 9819781663 | 144 Pages | PDF EPUB (True) | 28 MB
This book concisely presents the optimization process and optimal control process with examples and simulations to help self-learning and better comprehension. It starts with function optimization and constraint inclusion and then extends to functional optimization using the calculus of variations. The development of optimal controls for continuous-time, linear, open-loop systems is presented using Lagrangian and Pontryagin-Hamiltonian methods, showing how to introduce the end-point conditions in time and state. The closed-loop optimal control for linear systems with a quadratic cost function, well-known as the linear quadratic regulator (LQR) is developed for both time-bound and time-unbounded conditions. Some control systems need to maximize performance alongside cost minimization. The Pontryagin’s maximum principle is presented in this regard with clear examples that show the practical implementation of it. It is shown through examples how the maximum principle leads to control switching and Bang-Bang control in certain types of systems. The application of optimal controls in discrete-time open-loop systems with the quadratic cost is presented and then extended to the closed-loop control, which results in the model predictive control (MPC). Throughout the book, examples and Matlab simulation codes are provided for the learner to practice the contents in each section. The aligned lineup of content helps the learner develop knowledge and skills in optimal control gradually and quickly.

Free Download Modeling, Simulation and Optimization of Bipedal Walking By Christopher G. Atkeson, Chenggang Liu (auth.), Katja Mombaur, Karsten Berns (eds.)
2013 | 290 Pages | ISBN: 3642363679 | PDF | 17 MB
The model-based investigation of motions of anthropomorphic systems is an important interdisciplinary research topic involving specialists from many fields such as Robotics, Biomechanics, Physiology, Orthopedics, Psychology, Neurosciences, Sports, Computer Graphics and Applied Mathematics. This book presents a study of basic locomotion forms such as walking and running is of particular interest due to the high demand on dynamic coordination, actuator efficiency and balance control. Mathematical models and numerical simulation and optimization techniques are explained, in combination with experimental data, which can help to better understand the basic underlying mechanisms of these motions and to improve them. Example topics treated in this book areModeling techniques for anthropomorphic bipedal walking systemsOptimized walking motions for different objective functionsIdentification of objective functions from measurementsSimulation and optimization approaches for humanoid robotsBiologically inspired control algorithms for bipedal walkingGeneration and deformation of natural walking in computer graphicsImitation of human motions on humanoidsEmotional body language during walking Simulation of biologically inspired actuators for bipedal walking machinesModeling and simulation techniques for the development of prosthesesFunctional electrical stimulation of walking.

Free Download Model Optimization Methods for Efficient and Edge AI:
Federated Learning Architectures, Frameworks and Applications
English | 2025 | ISBN: 1394219210 | 398 Pages | PDF, EPUB (True) | 29 MB

Free Download Handbook of Combinatorial Optimization: Volume1-3 by Ding-Zhu Du
English | PDF | 1998 | 2410 Pages | ISBN : 0792350197 | 217.7 MB
Combinatorial (or discrete) optimization is one of the most active fields in the interface of operations research, computer science, and applied math ematics. Combinatorial optimization problems arise in various applications, including communications network design, VLSI design, machine vision, air line crew scheduling, corporate planning, computer-aided design and man ufacturing, database query design, cellular telephone frequency assignment, constraint directed reasoning, and computational biology. Furthermore, combinatorial optimization problems occur in many diverse areas such as linear and integer programming, graph theory, artificial intelligence, and number theory.