Mariusz Pilarek, Roman Wyrzykowski: Solving Systems of Interval Linear Equations in Parallel Using Multithreaded Model and "Interval Extended Zero" Method.
206-214
Marek Sawerwain: GPU-Based Parallel Algorithms for Transformations of Quantum States Expressed as Vectors and Density Matrices.
215-224
Adam Smyk, Marek Tudruj: A Parallel Genetic Algorithm Based on Global Program State Monitoring.
396-405
Applied Mathematics, Neural Networks and Evolutionary Computing
Stanislaw Deniziak, Karol Wieczorek: Parallel Approach to the Functional Decomposition of Logical Functions Using Developmental Genetic Programming.
406-415
Piotr Duda, Yoichi Hayashi: On the Weak Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks in a Time-Varying Environment.
427-434
Piotr Duda, Jacek M. Zurada: On the Cesaro Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Non-stationary Noise.
435-442
Meng Joo Er, Piotr Duda: On the Weak Convergence of the Orthogonal Series-Type Kernel Regresion Neural Networks in a Non-stationary Environment.
443-450
Maciej Jaworski, Meng Joo Er: Learning in a Non-stationary Environment Using the Recursive Least Squares Method and Orthogonal-Series Type Regression Neural Network.
480-489
Maciej Jaworski, Yoichi Hayashi: On the Application of the Parzen-Type Kernel Probabilistic Neural Network and Recursive Least Squares Method for Learning in a Time-Varying Environment.
490-500
Jaroslaw Piersa: Diameter of the Spike-Flow Graphs of Geometrical Neural Networks.
511-520
Lena Pietruczuk, Jacek M. Zurada: Weak Convergence of the Recursive Parzen-Type Probabilistic Neural Network in a Non-stationary Environment.
521-529
Lena Pietruczuk, Meng Joo Er: Strong Convergence of the Parzen-Type Probabilistic Neural Network in a Time-Varying Environment.
530-538
Jacek M. Zurada, Maciej Jaworski: Learning in a Time-Varying Environment by Making Use of the Stochastic Approximation and Orthogonal Series-Type Kernel Probabilistic Neural Network.
539-548
Maximilian Emans: Combining Smoother and Residual Calculation in v-cycle AMG for Symmetric Problems.
651-660
Hatem Ltaief, Piotr Luszczek, Jack Dongarra: Enhancing Parallelism of Tile Bidiagonal Transformation on Multicore Architectures Using Tree Reduction.
661-670
Piotr Luszczek, Jack Dongarra: Reducing the Time to Tune Parallel Dense Linear Algebra Routines with Partial Execution and Performance Modeling.
730-739
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