The Mathworks, Inc.

Nausheen B Moulana

Joseph F Hicklin

John Norris Little

Loren P Dean

Jocelyn Martin

Halldor Narfi Stefansson

Roy Lurie

Edric Mark Ellis

Brett W Baker

Piotr R Luszczek

Penelope Anderson

Michael Karr

Stephen C Johnson

Vadim Teverovsky

Jason A Kinchen

Jason D Breslau

Bryan T White

Steven L Eddins

Justin Marina

Gadi Reinhorn

Jocelyn Luke Martin

Penelope L Anderson

Roy E Lurie

Michael E Karr

In an illustrative embodiment, an apparatus, computer-readable medium, or method may be configured to avoid command mistakes and suggest corrections. Known commands may be accessed which may include at least one expected identifier, alternative identifier, and/or identifier pattern. The frequencies of occurrence of the known commands may be calculated. A command with entered identifiers may be received and at least one possible mistake in the entered identifiers may be detected. A first numerical score for the known commands may be calculated using a string matching algorithm, a keystroke penalty matrix, and/or the detected at least one possible mistake. A second numerical score may be calculated using the frequencies of occurrence of the known commands and the first numerical score. Expected identifiers may be selected using the first and second numerical scores. A user-selectable command may be created using the expected known commands and displayed.

Mistake avoidance and correction suggestions

A generalized input/output application programming interface (API) may provide an interface to file related operations. As a result of using this API, users of the array-based programming language may be able to manipulate stored data as though the data were a virtual array loaded into memory. Users do not need to memorize a different API in order to access data which may be stored in different file or data formats. In addition, using this API simplifies the task of working with large data sets by giving users seamless access to the sections of data they want to operate on when the entire data is too large to be loaded into memory.

Virtual arrays in an array-based language

A computing device-implemented method includes receiving a program, analyzing and transforming the program, determining an inner context and an outer context of the program based on the analysis of the program, and allocating one or more portions of the inner context of the program to two or more labs for parallel execution. The method also includes receiving one or more results associated with the parallel execution of the one or more portions from the two or more labs, and providing the one or more results to the outer context of the program.

Using parallel processing constructs and dynamically allocating program portions

A computing device-implemented method includes receiving a program created by a technical computing environment, analyzing the program, generating multiple program portions based on the analysis of the program, dynamically allocating the multiple program portions to multiple software units of execution for parallel programming, receiving multiple results associated with the multiple program portions from the multiple software units of execution, and providing the multiple results or a single result to the program.

Parallel programming interface to dynamicaly allocate program portions

A device, for performing parallel processing, includes a processor to receive one or more portions of an inner context of a program created for a technical computing environment, and allocate one or more portions of the inner context of the program to two or more labs for parallel execution. The processor is also configured to receive one or more results associated with the parallel execution of the one or more portions from the two or more labs, and provide the one or more results to an outer context of the program.

Method of using parallel processing constructs and dynamically allocating program portions

One or more computer-readable media store executable instructions that, when executed by processing logic, perform parallel processing. The media store one or more instructions for receiving one or more portions of an inner context of a program created for a technical computing environment, allocating one or more portions of the inner context of the program to two or more labs for parallel execution, receiving one or more results associated with the parallel execution of the one or more portions from the two or more labs, and providing the one or more results to an outer context of the program.

Media for using parallel processing constructs

A computing system receives a program created by a technical computing environment, analyzes the program, generates multiple program portions based on the analysis of the program, dynamically allocates the multiple program portions to multiple software units of execution for parallel programming, receives multiple results associated with the multiple program portions from the multiple software units of execution, and provides the multiple results or a single result to the program.

Parallel programming computing system to dynamically allocate program portions

Parallel programming interface to dynamically allocate program portions

A method of preventing use of an illegally copied optical medium comprises the step of identifying the media type of the optical medium to determine whether the optical medium is an original version or an unauthorized copy. If the media type indicates that the optical medium is an original version, use of the optical medium is not prevented. If the media type indicates that the optical medium is an unauthorized copy, use of the optical medium is inhibited. The media type can be identified by reviewing a medium-type code field contained in a mode parameter header of the optical medium, which corresponds to the media type of the optical medium, and is a feature integrated into the media that cannot be copied.

Non-machine specific optical-media based copy protection

Growing community of inventors

Framingham, MA, United States of America

Nausheen B Moulana