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libusb3380-0t64

USB3380 abstraction layer for libusb

The USB 3380 is a PCI Express Gen 2 to USB 3.0 SuperSpeed Peripheral Controller. It features one PCI Express Gen 2 x1 port and one USB 3.0 SuperSpeed client port. The USB 3380 provides a matching bandwidth at 5 GT/s between the PCI Express Gen 2 bus and the USB 3.0 SuperSpeed bus.

libjheaps-java

Java library with various heap implementations

This library contains various heap implementations written in Java. A heap is a priority queue data type which contains elements with keys (duplicate keys are permitted) from a totally-ordered universe. The library is easy to use, its data structures have a well defined interface, it is fast and well documented, and the heaps are written in a similar way as in the JDK.

libslepc64-complex3.19

Scalable Library for Eigenvalue Problem Computations (64-bit)

SLEPc is a software library for the solution of large scale sparse eigenvalue problems on parallel computers. It is an extension of PETSc and can be used for either standard or generalized eigenproblems, with real or complex arithmetic. It can also be used for computing a partial SVD of a large, sparse, rectangular matrix.

libslepc-real3.19

Scalable Library for Eigenvalue Problem Computations

SLEPc is a software library for the solution of large scale sparse eigenvalue problems on parallel computers. It is an extension of PETSc and can be used for either standard or generalized eigenproblems, with real or complex arithmetic. It can also be used for computing a partial SVD of a large, sparse, rectangular matrix.

libfilezilla39

build high-performing platform-independent programs (runtime lib)

Free, open source C++ library, offering some basic functionality to build high-performing, platform-independent programs. Some of the highlights include:

libslepc-complex3.19

Scalable Library for Eigenvalue Problem Computations

SLEPc is a software library for the solution of large scale sparse eigenvalue problems on parallel computers. It is an extension of PETSc and can be used for either standard or generalized eigenproblems, with real or complex arithmetic. It can also be used for computing a partial SVD of a large, sparse, rectangular matrix.