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In an era dominated by mathematical and statistical models, this book unravels the profound significance of these tools in decoding uncertainties within numerical, observational, and calculation-based data.
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This comprehensive text offers insights into diverse fields such as engineering, economics, medicine, and agriculture, addressing real-world challenges. It delves into the intricacies of the Lomax distribution under a Type II censoring scheme, exploring various loss functions.
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Discusses machine learning models and their optimization in mathematical modeling. Covers important topics such as linear integer... Læs mere
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Focuses on the theory of multivalued linear operators, responding to the lack of resources exclusively dealing with the spectral theory of multivalued linear operators, specifically the study of linear relations over real or complex Banach spaces.
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Linear and Non-Linear System Theory focuses on the basics of linear and non-linear systems, optimal control and optimal estimation with an objective to understand the basics of state space approach linear and non-linear systems and its analysis, thereof.
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Real-world issues can be translated into the language and concepts of mathematics with the use of mathematical models.... Læs mere
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This book helps readers overcome the difficulty in their day-to-day tasks and seek insights from solutions in famous open source projects.... Læs mere
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This book helps readers overcome the difficulty in their day-to-day tasks and seek insights from solutions in famous open source projects.... Læs mere
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The book uses asymptotic methods to obtain simple approximate analytic solutions to various problems within... Læs mere
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This monograph is a comprehensive reference on rigorous mathematical solutions to a central challenge of radiotherapy: how to maximize tumor-kill while protecting... Læs mere
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The book is an attempt to integrate coding with discrete mathematics in the hopes that each discipline will complement the other and allow for a fuller treatment of... Læs mere
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