Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 18 of 18 for “"programming theory"”.
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The Programming Theory of Creativity
… creative processes. In response, I propose a programming theory of creativity, which distinguishes between broad planning intentions and more specific implementation intentions. On this view, creative products emerge when planning intentions probabilistically constrain implementation …
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Continuous linear programming : theory, algorithms and applications
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1995.
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Two-Stage Stochastic Mixed Integer Nonlinear Programming: Theory, Algorithms, and Applications
… for solving them. Two-stage stochastic programming is one of the powerful modeling tools that allows probabilistic data parameters in mixed integer programming, a well-known tool for optimization modeling with deterministic input data. However, akin to the mixed integer programs, these …
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Research on Function Identification and Decision-making Mechanisms of Existing Building Renovation Based on Architectural Programming Theory
L'abstract è presente nell'allegato / the abstract is in the attachment
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ΕΚΤΙΜΗΣΗ ΤΗΣ ΣΥΜΒΟΛΗΣ ΤΟΥ ΞΥΛΟΥ ΣΤΗΝ ΠΕΡΙΦΕΡΕΙΑΚΗ ΑΝΑΠΤΥΞΗ ΜΕ ΠΟΣΟΤΙΚΕΣ ΜΕΘΟΔΟΥΣ
… PAPERIS THE INPUT-OUTPUT ANALYSIS AND THE LINEAR PROGRAMMING THEORY.
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Design and implementation of a software tool for day-ahead and real-time electricity grid optimal management at the residential level from a customer's perspective
… problem is proposed based on the linear programming theory. Several cases involving controllable and non-controllable domestic loads as well as renewable energy sources are presented and simulation scenarios illustrate the proposed optimization strategy in each case. The performance of …
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Encoding the Sensor Allocation Problem for Reinforcement Learning
… (SSA) sensor networks have relied on dynamic programming theory to generate tasking plans which govern how sensors are allocated to observe resident space objects. Deep reinforcement learning (DRL) techniques, with their ability to be trained on simulated environments, which are readily …
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An architecture for a collaborative authoring system
… computer science for database, networking, and programming theory. The project initially looks at groups and how they form, communicate, and work together, progressing on to look at writing and the cognitive processes it entails for both composition and retrieval. The thesis then details a set …
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Control design techniques for constrained positive compartmental systems with applications to air traffic flow management
… presented are based on sliding mode control theory and linear programming theory. Contributions of this work are methods which: (a) react in real time to changing flow rate constraints, and (b) use routing parameters to satisfy time varying capacity constraints for linear, uncertain linear, …
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The effect of demand uncertainty on planning: the steel industry in Argentina
… a method more firmly ground in mathematical programming theory. The present analysis models the investment decisions in a case with large uncertainty in demand: the steel industry in Argentina. Special emphasis is devoted to the recent history, where a recent shift in economic policy …
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Operation under Uncertainty in Electric Grid: A Multiparametric Programming Approach
… efficient algorithms based on multiparametric programming theory. Under this new paradigm, uncertainty is characterized by conditional distributions and decisions are made by incorporating such probabilistic descriptions. To illustrate the new paradigm, we consider two specific problems. For …
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Topics in Dynamic programming and Economic Networks
Dynamic programming is a recursive method for finding optimal decision rules for sequential decision-making problems under uncertainty. It is the most fundamental tool for modern economics, addressing topics that include economic growth, optimal saving, asset pricing, business cycles, and fiscal …
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Topics in Dynamic programming and Economic Networks
Dynamic programming is a recursive method for finding optimal decision rules for sequential decision-making problems under uncertainty. It is the most fundamental tool for modern economics, addressing topics that include economic growth, optimal saving, asset pricing, business cycles, and fiscal …
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Patterns of Sexual, Physical, and Emotional Abuse of Women by College Men: Multivariate Examination of Attitudes Toward Women, Social Environment, Psychopathology, and Childhood Exposure to Abuse
… implications of the findings for intervention programming, theory, and future research.
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Because I Am Human: Centering Black Women with Dis/abilities in Transition Planning from High School to College
… Studies in Education (DSE), Critical Race Theory, and Womanist/Black Feminist Theory and their shared tenets of voice and counternarratives and concepts of social construction and falsification of consciousness to analyze the narratives of BWD participants. I drew from the DS/DSE tenet of …
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Collaborative Study and Paired Test Taking in Collegiate Level Linear Programming Instruction
… strategies on formulating solutions to linear programming word problems that were designed to incorporate problem-solving skills. Forty-six students majoring in business at a small southwest college in Virginia participated in the study. After an instruction session, a study period, and a …
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Sampling Controlled Stochastic Recursions: Applications to Simulation Optimization and Stochastic Root Finding
… parameters to guarantee convergence. The theory for choosing such parameters is now well-established, but most such theory focuses on asymptotic performance. Automatically choosing parameters to ensure good finite-time performance has remained vexingly elusive, as evidenced by continuing …