SKU/Artículo: AMZ-B0DJDF33WR
Linear Algebra in Circuit Design: With Python (Electrical Engineering Essentials with Python)
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.64 kg
0.64 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- Immerse yourself in the sophisticated world of circuit design with a comprehensive guide that marries the intricate principles of linear algebra with practical applications in electrical circuits. With Python code provided for each chapter, this resource serves as both a theoretical primer and a hands-on manual for engineers, students, and enthusiasts in the field of electronics and electrical engineering. Key Features: - Integrate linear algebra concepts seamlessly into circuit analysis and design. - Explore 65 meticulously crafted chapters, each with Python code to enable practical learning and application. - Grasp foundational and advanced topics in linear algebra and their critical roles in modern circuit design. - Gain insight into both classic and cutting-edge analysis techniques and simulation models. What You'll Learn: - Master the foundational concepts of vectors and scalars essential for understanding circuit variables. - Decode the utility of matrix notation in simplifying complex circuit equations. - Utilize complex numbers and phasors for effective AC circuit representation. - Understand the formation of vector spaces with circuit variables and assess linear independence. - Model circuit components like resistors and capacitors through linear transformations. - Solve systems of linear equations to decode intricate circuit networks. - Analyze circuit behavior and solvability using determinants. - Apply eigenvalues and eigenvectors for RLC circuit behavior prediction. - Simplify multi-component circuit analysis via matrix diagonalization. - Compute energy metrics in circuits through inner product spaces. - Harness orthogonality in vector spaces for signal processing efficiency. - Approach Fourier Transform with a linear algebra perspective to decode circuit frequency components. - Transform circuit differential equations into algebraic forms using the Laplace Transform. - Handle complex circuit inputs and outputs with state-space representation. - Deploy transfer functions for comprehensive system behavior analysis. - Ensure circuit stability through advanced linear algebra techniques. - Draw connections between linear algebra and network theory using mathematical graphs. - Perform matrix-based mesh analysis for systematic circuit problem-solving. - Conduct nodal analysis by framing and resolving nodal equations with linear algebra. - Explore linear circuits with dependent sources through algebraic approaches. - Optimize circuit design using linear programming and advanced optimization techniques.
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AR$102.910
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AR$52.778
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