Andere Kunden interessierten sich auch für
![Synthesis of neural network approaches used for ECG classification]( "Synthesis of neural network approaches used for ECG classification")
Synthesis of neural network approaches used for ECG classification32,99 €![Verification and Synthesis of Digital Circuits]( "Verification and Synthesis of Digital Circuits")
Verification and Synthesis of Digital Circuits51,99 €![Sample-Based Texture Synthesis]( "Sample-Based Texture Synthesis")
Sample-Based Texture Synthesis42,99 €![Optimizing Repair Programs for Consistent Query Answering in Databases]( "Optimizing Repair Programs for Consistent Query Answering in Databases")
Optimizing Repair Programs for Consistent Query Answering in Databases51,99 €![An Adaptive Approach for Clustering Incomplete Data Sets]( "An Adaptive Approach for Clustering Incomplete Data Sets")
An Adaptive Approach for Clustering Incomplete Data Sets44,99 €![Logic-Based Program Synthesis and Transformation]( "Logic-Based Program Synthesis and Transformation")
Logic-Based Program Synthesis and Transformation41,99 €![Realistic Image Synthesis Using Photon Mapping]( "Realistic Image Synthesis Using Photon Mapping")
Realistic Image Synthesis Using Photon Mapping68,99 €
The result looked at first as unexpected, however, an attentive reflection reveals that in a formal verification setting, adding more dependencies to an assertion reduces the number of states that the formal verification tool needs to explore in order to prove whether the assertion is true or false. This also explains why the merged Karnaugh maps did exceptionally well while the heuristics test did poorly in comparison. In a formal setting, merging Karnaugh maps allowed IFV to prove the assertion set 4 times faster than the initial non-optimized set of non-redundant assertions.