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"Design of Energy Efficient and Error Tolerant Approximate Multipliers" presents a comprehensive study on approximate computing techniques, focusing on developing efficient and error-tolerant approximate multipliers for applications requiring high data management rates. The primary goal is to enhance energy efficiency while balancing error and design metrics, particularly for image processing applications. The research is divided into four modules, each addressing different techniques and their impact on design and error metrics.