The following pages link to Matplotlib (Q18682):
Displaying 50 items.
- Two meshless methods based on pseudo spectral delta-shaped basis functions and barycentric rational interpolation for numerical solution of modified Burgers equation (Q5031243) (← links)
- Integration of Leaky-Integrate-and-Fire Neurons in Standard Machine Learning Architectures to Generate Hybrid Networks: A Surrogate Gradient Approach (Q5033555) (← links)
- Random Points on an Algebraic Manifold (Q5037571) (← links)
- The Python Book (Q5037692) (← links)
- CAVAEva: An Engineering Platform for Evaluating Commercial Anti-malware Applications on Smartphones (Q5040390) (← links)
- Test of the statistical isotropy of the universe using gravitational waves (Q5041307) (← links)
- Clustering Dynamics on Graphs: From Spectral Clustering to Mean Shift Through Fokker–Planck Interpolation (Q5054577) (← links)
- Toolkit for scalar fields in universes with finite-dimensional Hilbert space (Q5056254) (← links)
- High-accuracy numerical models of Brownian thermal noise in thin mirror coatings (Q5060817) (← links)
- Interacting dark energy from redshift-space galaxy clustering (Q5061890) (← links)
- Bayesian estimation of our local motion from the Planck-2018 CMB temperature map (Q5061917) (← links)
- Non-Gaussianity and the induced gravitational wave background (Q5061924) (← links)
- A data-driven reconstruction of Horndeski gravity via the Gaussian processes (Q5061957) (← links)
- Exploring the redshift-space peculiar velocity field and its power spectrum (Q5061962) (← links)
- A new way to test the Cosmological Principle: measuring our peculiar velocity and the large-scale anisotropy independently (Q5062268) (← links)
- Error estimates for semi-discrete finite element approximations for a moving boundary problem capturing the penetration of diffusants into rubber (Q5069825) (← links)
- Local patch analysis for testing statistical isotropy of the Planck convergence map (Q5070220) (← links)
- The <i>n</i>-point streaming model: how velocities shape correlation functions in redshift space (Q5070285) (← links)
- Python for Unified Research in Econometrics and Statistics (Q5080159) (← links)
- Python for Probability, Statistics, and Machine Learning (Q5082233) (← links)
- Fast and credible likelihood-free cosmology with truncated marginal neural ratio estimation (Q5104215) (← links)
- Randentropy: A Software to Measure Inequality in Random Systems (Q5106277) (← links)
- Trimmed Statistical Estimation via Variance Reduction (Q5108267) (← links)
- (Q5109519) (← links)
- Book Reviews (Q5113175) (← links)
- Approximations of the Lagrange and Markov spectra (Q5113679) (← links)
- (Q5129944) (← links)
- A Robust Model of Gated Working Memory (Q5131168) (← links)
- Aggregation-Diffusion Equations: Dynamics, Asymptotics, and Singular Limits (Q5132194) (← links)
- Dynamical phase transitions for the activity biased Ising model in a magnetic field (Q5135038) (← links)
- Evaluating and tuning \(n\)-fold integer programming (Q5140719) (← links)
- Perturbing the Mean Value Theorem: Implicit Functions, the Morse Lemma, and Beyond (Q5144496) (← links)
- Konkrete Mathematik (nicht nur) für Informatiker (Q5147474) (← links)
- (Q5156807) (← links)
- Numerical Computation of Doubly-Periodic Stokes Flow Bounded by a Plane with Applications to Nodal Cilia (Q5159016) (← links)
- An Inertial Newton Algorithm for Deep Learning (Q5159400) (← links)
- A Broad Class of Conservative Numerical Methods for Dispersive Wave Equations (Q5163215) (← links)
- Numerical investigation of dynamic Euler-Bernoulli equation via 3-Scale Haar wavelet collocation method (Q5164422) (← links)
- Think Bayes. Bayesian statistics in Python (Q5174514) (← links)
- Kernel Treelets (Q5237486) (← links)
- A Flexible Iterative Solver for Nonconvex, Equality-Constrained Quadratic Subproblems (Q5266121) (← links)
- The Cost of Continuity: Performance of Iterative Solvers on Isogeometric Finite Elements (Q5300117) (← links)
- Python for engineers and natural scientists. Introduction to programming, mathematical applications and visualizations. With numerous pictures and tables as well as 68 exercises (Q5369808) (← links)
- Programming for Computations - Python (Q5376857) (← links)
- A Primer on Scientific Programming with Python (Q5415457) (← links)
- A 4th-Order Particle-in-Cell Method with Phase-Space Remapping for the Vlasov--Poisson Equation (Q5738173) (← links)
- Multidimensional Summation-by-Parts Operators: General Theory and Application to Simplex Elements (Q5739954) (← links)
- Large deviations and optimal control forces for hard particles in one dimension (Q5856023) (← links)
- COCO: a platform for comparing continuous optimizers in a black-box setting (Q5859012) (← links)
- Patch-Based Holographic Image Sensing (Q5860280) (← links)
