Abstract: A lead-free percussion primer compositions include a mixture of at least one metal having nanometer-sized particles with at least one oxidizer having nanometer-sized particles producing a metal(s)-oxidizer(s) nanocomposite, wherein the oxidizer(s) is present in an effective amount to substantially oxidize the metal(s), at least one gas generating material mixed with the metal(s)-oxidizer(s) nanocomposite producing a metal(s)-oxidizer(s)-gas generator(s) composition, and at least one binder, the metal(s)-oxidizer(s)-gas generating composition is coated with the binder.

Abstract: A lead-free electric primer composition including a mixture of at least one metal having nanometer-sized particles with at least one oxidizer having nanometer-sized particles producing a metal(s)-oxidizer(s) nanocomposite, wherein the oxidizer(s) is present in an effective amount to substantially oxidize the metal(s), at least one gas generating material mixed with the metal(s)-oxidizer(s) nanocomposite producing a metal(s)-oxidizer(s)-gas generator(s) composition, at least one binder, the metal(s)-oxidizer(s)-gas generating composition is coated with the binder, and at least one conductive material.

Abstract: A lead-free electric primer composition including a mixture of at least one metal having nanometer-sized particles with at least one oxidizer having nanometer-sized particles producing a metal(s)-oxidizer(s) nanocomposite, wherein the oxidizer(s) is present in an effective amount to substantially oxidize the metal(s), at least one gas generating material mixed with the metal(s)-oxidizer(s) nanocomposite producing a metal(s)-oxidizer(s)-gas generator(s) composition, at least one binder, the metal(s)-oxidizer(s)-gas generating composition is coated with the binder, and at least one conductive material.

Abstract: Methods and apparatuses for searching for an optimal resource allocation configuration are disclosed. First and second configurations for allocating resources are generated, each having first and second degrees of optimization, respectively. The second configuration is based on a variation of the first configuration. The second configuration is rejected if the first degree of optimization represents a more optimal configuration than the second degree of optimization based on a first probability that the first configuration is a global optimum configuration. The second configuration is accepted if the first degree of optimization represents a more optimization configuration than the second degree of optimization based on a second probability that the first configuration does not comprise the global optimum configuration.

Abstract: Systems and methods allocate data structures to memories coupled to a processor. The allocation may be based on system aspects such as memory size constraints, bandwidth constraints, and memory latency. Further aspects that may be included in the allocation decision are minimization of wasted bandwidth and task priorities. A constraint satisfaction algorithm with an objective function may be used to determine a desirable allocation.

Abstract: Methods and apparatuses for searching for an optimal resource allocation configuration are disclosed. First and second configurations for allocating resources are generated, each having first and second degrees of optimization, respectively. The second configuration is based on a variation of the first configuration. The second configuration is rejected if the first degree of optimization represents a more optimal configuration than the second degree of optimization based on a first probability that the first configuration is a global optimum configuration. The second configuration is accepted if the first degree of optimization represents a more optimization configuration than the second degree of optimization based on a second probability that the first configuration does not comprise the global optimum configuration.