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Algorithms Behind Space Missions ~xRay Pixy

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Learn different algorithms used in Space Missions. Video Link Video Chapters: Algorithms Behind Space Missions 00:00 Introduction 00:52 Space Missions 04:26 Space Missions Challenges 07:04 Algorithms Used in Space Missions 10:36 Optimization Techniques 11:44 Conclusion  NASA conducts space missions to explore the universe for various scientific, technological, and practical reasons: Understanding Our Place in the Universe Search for Life Beyond Earth Studying Earth from Space Advancing Technology Supporting Human Exploration Resource Utilization Inspiring Humanity Examples of NASA Space Missions Apollo Program: Sent humans to the Moon (1969–1972). Mars Rovers (Spirit, Opportunity, Perseverance): Explored Mars' surface and geology. Voyager Missions: Studied the outer planets and interstellar space. Hubble Space Telescope: Captured breathtaking images of the universe. International Space Station (ISS): Supports research in microgravity and international collaboration. Different ...
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Soft Computing - Fuzzy Logic | Fuzzy Relations | DOM | FIS || Unit 1 || ...

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Learn Soft Computing Basics step-by-step using Example. Video Chapter: 00:00 Introduction 00:09 Topics Covered 02:13 What is Fuzzy Logic? 07:06 What is Crisp Set? 08:03 What is the Degree of Membership? 09:05 Fuzzy Logic Components 10:46 Fuzzy Logic Operators 11:47 Fuzzy Relations 15:03 Fuzzy Relation Composition 17:28 Fuzzy Inference System 17:52 Defuzzification What is a Crisp Set? A "crisp set" or "crisp logic" refers to the traditional, classical set theory and logic where elements either belong to a set or do not, with no in-between or degrees of membership. In crisp logic, membership is binary—something is either a member of a set (true) or not (false). What is a Fuzzy Logic? Fuzzy logic is a mathematical framework that deals with reasoning and decision-making in the presence of uncertainty and imprecision. Unlike classical (Boolean) logic, which is based on binary values (true or false, 0 or 1), fuzzy logic allows for the representation of parti...
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Solving Transportation Problem ||Operations Research and Optimization|| ...

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Unit 1  - INTRODUCTION TO OPTIMIZATION ALGORITHMS Video Chapters: Optimization Techniques 00:00 Introduction 02:39 Optimization Statement 05:27 Constrained Optimization Problems 06:06 Constrained Optimization Methods 07:38 Transportation Problem 14:40 Unconstrained Optimization Problems 20:15 Conclusion 1. What is Optimization?      Optimization is the process of finding the best solution or set of solutions from a range of possible options, with the aim of maximizing or minimizing a particular objective function. The objective function is a mathematical expression that represents the quantity to be optimized, such as maximizing profit, minimizing cost, or achieving the highest performance. There are two main types of optimization problems: Maximization Problems: These involve finding the maximum value of an objective function. Examples : maximizing profit, revenue, efficiency, or any other desirable outcome. Minimization Problems: These involve ...
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