Optimization

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Release : 2015-05-06
Genre : Business & Economics
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Book Rating : 15X/5 ( reviews)

Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization write by Rajesh Kumar Arora. This book was released on 2015-05-06. Optimization available in PDF, EPUB and Kindle. Choose the Correct Solution Method for Your Optimization ProblemOptimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs. The book covers both gradient and stochastic methods as solution techniques for unconstrained and co

Optimization, Learning Algorithms and Applications

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Release : 2023-01-01
Genre : Computers
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Book Rating : 364/5 ( reviews)

Optimization, Learning Algorithms and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization, Learning Algorithms and Applications write by Ana I. Pereira. This book was released on 2023-01-01. Optimization, Learning Algorithms and Applications available in PDF, EPUB and Kindle. This book constitutes the proceedings of the Second International Conference on Optimization, Learning Algorithms and Applications, OL2A 2022, held in Bragança, Portugal, in October 2022. The 53 full papers and 3 short papers were thoroughly reviewed and selected from 145 submissions. They are organized in the topical sections on Machine and Deep Learning; Optimization; Artificial Intelligence; Optimization in Control Systems Design; Measurements with the Internet of Things; Trends in Engineering Education; Advances and Optimization in Cyber-Physical Systems; and Computer vision based on learning algorithms.

Swarm Intelligence Optimization

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Release : 2021-01-07
Genre : Computers
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Book Rating : 743/5 ( reviews)

Swarm Intelligence Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Swarm Intelligence Optimization write by Abhishek Kumar. This book was released on 2021-01-07. Swarm Intelligence Optimization available in PDF, EPUB and Kindle. Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.

Optimization in Machine Learning and Applications

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Release : 2019-11-29
Genre : Technology & Engineering
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Book Rating : 948/5 ( reviews)

Optimization in Machine Learning and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization in Machine Learning and Applications write by Anand J. Kulkarni. This book was released on 2019-11-29. Optimization in Machine Learning and Applications available in PDF, EPUB and Kindle. This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal data. It discusses the optimization methods that help minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The book also presents formulations of real-world machine learning problems, and discusses AI solution methodologies as standalone or hybrid approaches. Lastly, it proposes novel metaheuristic methods to solve complex machine learning problems. Featuring valuable insights, the book helps readers explore new avenues leading toward multidisciplinary research discussions.

Dictionary Learning Algorithms and Applications

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Release : 2018-04-16
Genre : Technology & Engineering
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Book Rating : 741/5 ( reviews)

Dictionary Learning Algorithms and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Dictionary Learning Algorithms and Applications write by Bogdan Dumitrescu. This book was released on 2018-04-16. Dictionary Learning Algorithms and Applications available in PDF, EPUB and Kindle. This book covers all the relevant dictionary learning algorithms, presenting them in full detail and showing their distinct characteristics while also revealing the similarities. It gives implementation tricks that are often ignored but that are crucial for a successful program. Besides MOD, K-SVD, and other standard algorithms, it provides the significant dictionary learning problem variations, such as regularization, incoherence enforcing, finding an economical size, or learning adapted to specific problems like classification. Several types of dictionary structures are treated, including shift invariant; orthogonal blocks or factored dictionaries; and separable dictionaries for multidimensional signals. Nonlinear extensions such as kernel dictionary learning can also be found in the book. The discussion of all these dictionary types and algorithms is enriched with a thorough numerical comparison on several classic problems, thus showing the strengths and weaknesses of each algorithm. A few selected applications, related to classification, denoising and compression, complete the view on the capabilities of the presented dictionary learning algorithms. The book is accompanied by code for all algorithms and for reproducing most tables and figures. Presents all relevant dictionary learning algorithms - for the standard problem and its main variations - in detail and ready for implementation; Covers all dictionary structures that are meaningful in applications; Examines the numerical properties of the algorithms and shows how to choose the appropriate dictionary learning algorithm.