Alejandro Garcés (45 results)

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Condition: Muy Bueno. 296. RIL, España, 2015, Castellano, 296pp. Castellano. En muy buen estado.

Condition: Nuevo. 293 p.

Taschenbuch. Condition: Neu. Neuware - Geometría Interior es un cuaderno de poesía donde dos poetas cubanos unen sus voces para regalarnos un hermoso canto al amor, a la pasión amorosa de pareja. Esta es pues una poesía amatoria plena de todas las resonancias posibles dentro del universo del amor. Donde el alma agoniza y renace en cada página y va tejiendo la historia de dos. conozcamos a los autores: Gisela Hernández Pérez, 1966. Cabaiguán, Sancti Spíritus. Lic. en Enfermería. Profesora Auxiliar de la Universidad de Ciencias Médicas de Villa Clara. Obtuvo mención en poesía en el Concurso Nacional Rubén Martínez Villena. Pertenece al proyecto literario La décima es un árbol, radicado en el Museo de Artes decorativas de la ciudad de Santa Clara, Villa Clara. Resultó finalista en el XV Concurso Nacional de Glosas al Indio Naborí en la edición del 2023. Segundo lugar en el Concurso Farraluke de poesía erótica.Alejandro Tomás Roman Olivera, 1987. Santa Clara, Cuba. Poeta, miembro de la AHS y del catálogo del Centro Provincial del Libro y la literatura de Santa Clara. Textos suyos aparecen publicados en las revistas Brotes, La Jiribilla, Amnios, La Gaveta, El Caimán Barbudo, El Correo de la Noche y Casa de las Américas. Incluido en La necedad de las truchas, antología de poetas cubanos y mexicanos. Palabras en el Vino, 2022, Editorial Primigenios. Editorial La Oscura Orilla le publicó el cuaderno de poesía Vuelos Nocturnos, 2024. …

Hardback. Condition: New. Multilingual.

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Hardback. Condition: New. Explore the theoretical foundations and real-world power system applications of convex programming In Mathematical Programming for Power System Operation with Applications in Python, Professor Alejandro Garces delivers a comprehensive overview of power system operations models with a focus on convex optimization models and their implementation in Python. Divided into two parts, the book begins with a theoretical analysis of convex optimization models before moving on to related applications in power systems operations. The author eschews concepts of topology and functional analysis found in more mathematically oriented books in favor of a more natural approach. Using this perspective, he presents recent applications of convex optimization in power system operations problems. Mathematical Programming for Power System Operation with Applications in Python uses Python and CVXPY as tools to solve power system optimization problems and includes models that can be solved with the presented framework. The book also includes: A thorough introduction to power system operation, including economic and environmental dispatch, optimal power flow, and hosting capacityComprehensive explorations of the mathematical background of power system operation, including quadratic forms and norms and the basic theory of optimizationPractical discussions of convex functions and convex sets, including affine and linear spaces, politopes, balls, and ellipsoidsIn-depth examinations of convex optimization, including global optimums, and first and second order conditions  Perfect for undergraduate students with some knowledge in power systems analysis, generation, or distribution, Mathematical Programming for Power System Operation with Applications in Python is also an ideal resource for graduate students and engineers practicing in the area of power system optimization.…

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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book thoroughly examines the latest research on optimal power flow (OPF) studies in direct current (DC) systems, focusing on implementing various OPF algorithms using Julia software. It is tailored for both students and professionals in the field of power systems, covering essential topics such as power flow analysis and optimal power flow in monopolar DC networks. The book highlights exact nonlinear programming formulations and convex approximations, offering practical examples and hands-on experience through Julia's optimization tools.Optimal Power Flow Methods for DC Networks: A Convex Optimization Approach is a versatile resource that blends theoretical insights with practical applications. It equips undergraduate and graduateengineering students and industry professionals with the skills to effectively address modern power system challenges using advanced optimization techniques.…

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Hardcover. Condition: Brand New. 150 pages. 9.25x6.10x9.21 inches. In Stock.

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Hardback. Condition: New. Multilingual.

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Hardcover. Condition: Brand New. 250 pages. 9.25x6.25x1.00 inches. In Stock.

Condition: New. 2021. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.

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Hardback. Condition: New. Explore the theoretical foundations and real-world power system applications of convex programming In Mathematical Programming for Power System Operation with Applications in Python, Professor Alejandro Garces delivers a comprehensive overview of power system operations models with a focus on convex optimization models and their implementation in Python. Divided into two parts, the book begins with a theoretical analysis of convex optimization models before moving on to related applications in power systems operations. The author eschews concepts of topology and functional analysis found in more mathematically oriented books in favor of a more natural approach. Using this perspective, he presents recent applications of convex optimization in power system operations problems. Mathematical Programming for Power System Operation with Applications in Python uses Python and CVXPY as tools to solve power system optimization problems and includes models that can be solved with the presented framework. The book also includes: A thorough introduction to power system operation, including economic and environmental dispatch, optimal power flow, and hosting capacityComprehensive explorations of the mathematical background of power system operation, including quadratic forms and norms and the basic theory of optimizationPractical discussions of convex functions and convex sets, including affine and linear spaces, politopes, balls, and ellipsoidsIn-depth examinations of convex optimization, including global optimums, and first and second order conditions  Perfect for undergraduate students with some knowledge in power systems analysis, generation, or distribution, Mathematical Programming for Power System Operation with Applications in Python is also an ideal resource for graduate students and engineers practicing in the area of power system optimization.…

Buch. Condition: Neu. Neuware - Explore the theoretical foundations and real-world power system applications of convex programmingIn Mathematical Programming for Power System Operation with Applications in Python, Professor Alejandro Garces delivers a comprehensive overview of power system operations models with a focus on convex optimization models and their implementation in Python. Divided into two parts, the book begins with a theoretical analysis of convex optimization models before moving on to related applications in power systems operations.The author eschews concepts of topology and functional analysis found in more mathematically oriented books in favor of a more natural approach. Using this perspective, he presents recent applications of convex optimization in power system operations problems.Mathematical Programming for Power System Operation with Applications in Python uses Python and CVXPY as tools to solve power system optimization problems and includes models that can be solved with the presented framework. The book also includes:\* A thorough introduction to power system operation, including economic and environmental dispatch, optimal power flow, and hosting capacity\* Comprehensive explorations of the mathematical background of power system operation, including quadratic forms and norms and the basic theory of optimization\* Practical discussions of convex functions and convex sets, including affine and linear spaces, politopes, balls, and ellipsoids\* In-depth examinations of convex optimization, including global optimums, and first and second order conditionsPerfect for undergraduate students with some knowledge in power systems analysis, generation, or distribution, Mathematical Programming for Power System Operation with Applications in Python is also an ideal resource for graduate students and engineers practicing in the area of power system optimization.…