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Book Categories |
Preface | ||
I | The IMD Essence and Concepts | 1 |
1 | Introduction | 1 |
2 | The Information Modeling Concepts | 5 |
3 | General Macrosystemic Functions | 23 |
4 | Main Macrosystemic Equations and Information Analogies | 62 |
5 | The IMD's Relations to the Fundamental Sciences | 80 |
II | Mathematical Foundation of Informational Macrodynamics | 99 |
1 | Variation Problem for Dynamic Informational Modeling of Random Process | 99 |
2 | The Space Distributed Macromodel | 156 |
3 | The Optimal Time-Space Distributed Macromodel (OPMC) with the Consolidated States | 179 |
III | Applications | 201 |
1 | Solution of the Applied Problems on Examples | 201 |
2 | A Review of the Main Applications | 244 |
Conclusion | 253 | |
References | 254 | |
Index | 257 |
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Add Variation Principle in Informational Macrodynamics, The Variation Principle In Informational Macrodynamics (VP) introduces the process' integral information measure, which has a distinctive difference from traditional information approaches that use an entropy function. The VP's minimax mathematical mechan, Variation Principle in Informational Macrodynamics to the inventory that you are selling on WonderClubX
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Add Variation Principle in Informational Macrodynamics, The Variation Principle In Informational Macrodynamics (VP) introduces the process' integral information measure, which has a distinctive difference from traditional information approaches that use an entropy function. The VP's minimax mathematical mechan, Variation Principle in Informational Macrodynamics to your collection on WonderClub |